搜索资源列表
kMeansCluster
- K-均值聚类，比较好的聚类方法，应用广泛-K-means clustering, a better clustering method, widely used
PoseEstimation_kMeansCluster.m
- PoseEstimation with kMeansCluster
kMeansCluster
- A matlab example of k means clustering
kMeansCluster
- K Means Cluster Matlab Source Code
kmeanscluster
- 加油邻域信息的K均值聚类算法，能有有效的去除噪声的干扰，达到好的聚类效果。算法的速度快，执行效率高-K-means clustering algorithms.
kMeansCluster
- k mean clustering algo
kMeansCluster
- K-Means聚类算法 Matlab代码-K-Means clustering algorithm Matlab code
kMeansCluster
- it is one of the simplest implementation of k-means algorithm
kMeansCluster
- kMeansCluster - Simple k means clustering algorithm Author: Kardi Teknomo, Ph.D. Purpose: classify the objects in data matrix based on the attributes Criteria: minimize Euclidean distance between centroids and object points For mo
kMeansCluster
- K均值聚类算法，可用于预先定义好种类数的样本聚类-K means clustering algorithm
kMeansCluster
- 基于matlaB工具的一种简单的关于K_means聚类的算法-A simple clustering algorithm on K_means
kMeansCluster-Code-For-matlab.m
- The code for k-means cluster in matlab. It works well in matlab.
kmeanscluster
- K means algorithm implementation
kMeansCluster
- 数据挖掘中k均值划分聚类算法。输入对象的数据集矩阵和簇的数量，使用欧拉距离计算对象之间的相拟度-K-means partitioning clustering algorithm in data mining. Input object data sets matrix and the number of clusters, using euler distance calculation。
kmeansCluster
- 开源搜索Carrot2中的kmeans聚类算法（作为性能对比用），由波兰学者Osinski撰写。-The open source search Carrot2 kmeans clustering algorithm (used as a performance comparison), written by the Polish scholar Osinski.